Simulation-Based Multi-Objective Optimization For Distributed Material Transportation System
Material Transportation System (MTS) is required to move materials within a factory, warehouse, or other facilities. This study focused on AGV where the optimization of MTS is further studied. Although there is increasing demand in AGV control architecture, there is still unexplored potential in opt...
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2018
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my.utem.eprints.230222021-08-30T14:20:31Z http://eprints.utem.edu.my/id/eprint/23022/ Simulation-Based Multi-Objective Optimization For Distributed Material Transportation System Mohamad, Nor Rashidah Md Fauadi, Muhammad Hafidz Fazli Jafar, Fairul Azni Mohamed Noor, Ahamad Zaki Nordin, Mohd Hisham T Technology (General) TJ Mechanical engineering and machinery Material Transportation System (MTS) is required to move materials within a factory, warehouse, or other facilities. This study focused on AGV where the optimization of MTS is further studied. Although there is increasing demand in AGV control architecture, there is still unexplored potential in optimizing AGV performance measures. Applying AGVs in logistic factory may help in improving the efficiency in material flow and distribution among workstation at the right time and the right place. The aim of this study is to propose a simulation-based vehicle requirement analysis of AGVs in warehouse area with low mixed product variation. Simulations results show optimized number of AGV in warehouse area is achieved and succeed in produce short cycle time with high throughput. Science Publishing Corporation 2018 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/23022/2/IJET-18987%20%281%29.pdf Mohamad, Nor Rashidah and Md Fauadi, Muhammad Hafidz Fazli and Jafar, Fairul Azni and Mohamed Noor, Ahamad Zaki and Nordin, Mohd Hisham (2018) Simulation-Based Multi-Objective Optimization For Distributed Material Transportation System. International Journal Of Engineering & Technology, 7 (3.20). pp. 92-94. ISSN 2227-524X https://www.sciencepubco.com/index.php/ijet/article/view/18987 |
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T Technology (General) TJ Mechanical engineering and machinery Mohamad, Nor Rashidah Md Fauadi, Muhammad Hafidz Fazli Jafar, Fairul Azni Mohamed Noor, Ahamad Zaki Nordin, Mohd Hisham Simulation-Based Multi-Objective Optimization For Distributed Material Transportation System |
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Material Transportation System (MTS) is required to move materials within a factory, warehouse, or other facilities. This study focused on AGV where the optimization of MTS is further studied. Although there is increasing demand in AGV control architecture, there is still unexplored potential in optimizing AGV performance measures. Applying AGVs in logistic factory may help in improving the efficiency in material flow and distribution among workstation at the right time and the right place. The aim of this study is to propose a simulation-based vehicle requirement analysis of AGVs in warehouse area with low mixed product variation. Simulations results show optimized number of AGV in warehouse area is achieved and succeed in produce short cycle time with high throughput. |
format |
Article |
author |
Mohamad, Nor Rashidah Md Fauadi, Muhammad Hafidz Fazli Jafar, Fairul Azni Mohamed Noor, Ahamad Zaki Nordin, Mohd Hisham |
author_facet |
Mohamad, Nor Rashidah Md Fauadi, Muhammad Hafidz Fazli Jafar, Fairul Azni Mohamed Noor, Ahamad Zaki Nordin, Mohd Hisham |
author_sort |
Mohamad, Nor Rashidah |
title |
Simulation-Based Multi-Objective Optimization For Distributed Material Transportation System |
title_short |
Simulation-Based Multi-Objective Optimization For Distributed Material Transportation System |
title_full |
Simulation-Based Multi-Objective Optimization For Distributed Material Transportation System |
title_fullStr |
Simulation-Based Multi-Objective Optimization For Distributed Material Transportation System |
title_full_unstemmed |
Simulation-Based Multi-Objective Optimization For Distributed Material Transportation System |
title_sort |
simulation-based multi-objective optimization for distributed material transportation system |
publisher |
Science Publishing Corporation |
publishDate |
2018 |
url |
http://eprints.utem.edu.my/id/eprint/23022/2/IJET-18987%20%281%29.pdf http://eprints.utem.edu.my/id/eprint/23022/ https://www.sciencepubco.com/index.php/ijet/article/view/18987 |
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1710679449705381888 |
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13.188404 |